• DocumentCode
    2641904
  • Title

    Occurrence pattern of Spodoptera litura in Hunan and its prediction methods

  • Author

    Zeng, Ai-ping ; Zhang, Qiong ; Zhou, Zhi-cheng ; Chen, Yong-nian ; Hu, Ri-sheng ; Long, Jian-zhong ; Li, Xiao-yi ; Wu, Chun-e

  • Author_Institution
    Hunan Provincial Key Lab. for Biol. & Control of Plant Pests, Hunan Agric. Univ., Changsha, China
  • fYear
    2011
  • fDate
    21-23 June 2011
  • Firstpage
    2628
  • Lastpage
    2632
  • Abstract
    The occurrence regulation of Spodoptera litura was studied according to the continiuous years´s data investigated in tobacco fields and weather data of Chenzhou and Ningyuan in Hunan. Results showed that generations of Spodoptera litura are 4-4.5 with the effective accumulated temperture per year and the actual generations of Spodoptera. litura is in accordance with the predicted generations in Hunan Province. The sources of Spodoptera litura in early stage of the year were migration pest, there were four occurrence stages in a year according the properties of pests sources, the number of trapped moths from April to June is significantly correlated with the number in March, the forecasting model is ŷ = 233.54 + 112.44x4 (r = 0.815*, n = 8). The number of trapped moths from April to June is significantly correlated with the daily average temperture of January (reliability degree was 90%), the forecasting model is ŷ = -1410 + 350x(r = 0.595, n = 9). The number of trapped moths of Agrotis ypsilon at its major migration stage (February-April), which synchronously migrated with Spodoptera litura, is significantly correlated with the number of Spodoptera litura in its major migration stage (April-June), and it provide data for the prediction of occurrence trend of Spodoptera. litura. The damage percent is significantly correlated with the number of Spodoptera litura per 100 plants, and the number of Spodoptera. litura per 100 plants at normal control plots as x1, the damage percent as y, r = 0.977** (n=10); the number of Spodoptera litura per 100 plants at observed plots as x2, the damage percent as y, r = 0.974** (n=10).
  • Keywords
    pest control; tobacco industry; Agrotis ypsilon; Chenzhou; Hunan province; Ningyuan; Spodoptera litura; forecasting model; occurrence pattern; occurrence regulation; prediction method; tobacco field; trapped moth; weather data; Companies; Conferences; Forecasting; Industrial electronics; Insects; Predictive models; Reliability; Agrotis ypsilon; Spodoptera litura; effective accumulated temperature; forecasting; occurrence trend; synchronous migration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
  • Conference_Location
    Beijing
  • ISSN
    pending
  • Print_ISBN
    978-1-4244-8754-7
  • Electronic_ISBN
    pending
  • Type

    conf

  • DOI
    10.1109/ICIEA.2011.5976038
  • Filename
    5976038